Evidence map›Paper›PMID 34150534›Full record

ArticleInternational journal of ophthalmology2021

Autophagy dysregulation mediates the damage of high glucose to retinal pigment epithelium cells.

Qian Zhang, Hong-Song Li, Rong Li, Jun-Hui Du, Cong Jiao

Open access · goldAbstract read
In one paragraph

Article in International journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Qian ZhangCenter of Clinical Aerospace Medicine, School of Aerospace Medicine, Key Laboratory of Aerospace Medicine of Ministry of Education, Air Force Medical University, Xi'an 710032, Shaanxi Province, China.
Hong-Song LiDepartment of Ophthalmology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China.
Rong LiDepartment of Ophthalmology, the First Affiliated Hospital of Xi'an Medical University, Xi'an 710077, Shaanxi Province, China.
Jun-Hui DuDepartment of Ophthalmology, Xi'an Ninth Hospital Affiliated to Medical College of Xi'an Jiaotong University, Xi'an 710054, Shaanxi Province, China.
Cong JiaoDepartment of Ophthalmology, the First Affiliated Hospital of Xi'an Medical University, Xi'an 710077, Shaanxi Province, China.
Xi'an Medical University · CNAir Force Medical University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo observe the role and mechanism of autophagy in retinal pigment epithelial cell (RPE) damaged by high glucose, so as to offer a new idea for the treatment of diabetic retinopathy (DR).

methodsARPE-19, a human RPE cell line cultured

resultsUnder high glucose conditions, the viability of ARPE-19 was decreased, and the apoptosis rate increased, the protein expressions of Bax, Caspase-3, and LC3-II/LC3-I were all increased and the expressions of Bcl-2, p62 and p-mTOR decreased, and autophagic flux was increased compared with that of the controls. Treatment with 3-MA reversed all these changes caused by high glucose.

conclusionThe current study demonstrates the mechanisms of cell damage of ARPE-19 through high glucose/mTOR/autophagy/apoptosis pathway, and new strategies for DR may be developed based on autophagy regulation to manage cell death of RPE cells.

Indexed as

apoptosisautophagydiabetic retinopathyretinal pigment epithelial cellthe mechanistic target of rapamycin (mTOR)

Identifiers

PMID34150534
PMCPMC8165619
OpenAlexW3164669109

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.